May 3, 2024, 4:15 a.m. | Surabhi S. Nath, Peter Dayan, Claire Stevenson

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.00899v1 Announce Type: cross
Abstract: Large language models appear quite creative, often performing on par with the average human on creative tasks. However, research on LLM creativity has focused solely on \textit{products}, with little attention on the creative \textit{process}. Process analyses of human creativity often require hand-coded categories or exploit response times, which do not apply to LLMs. We provide an automated method to characterise how humans and LLMs explore semantic spaces on the Alternate Uses Task, and contrast with …

arxiv creative creative process cs.ai cs.cl cs.hc humans language language models large language large language models process q-bio.nc type

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